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Robyn is a Marketing Mix Modeling (MMM) code. It can be used to build end-to-end time series regression models and as an econometrics code library. Automated, built for very large data sets, and is suitable for digital and complex consumer behaviour

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FB NextGen MMM beta R script, v19
2020-04-29

###### How To Start ######

The following files are contained in the zip:

Four .R script files:
- fb_nextgen_mmm_v19.exec.R # you only need this script to execute, it calls the other 3 scripts
- fb_nextgen_mmm_v19.func.R # this contains all major functions and data preparation
- fb_nextgen_mmm_v19.plot.R # this contains all plot functions
- fb_nextgen_mmm_v19.bayes.R # this contains adapted functions from the library parBayesianOptimization

Two .csv files:
- de_simulated_data.csv # this is our simulated data set
- generated_holidays.csv # this contains holidays of all countries from the library prophet

All files should be placed in the same folder

Please make sure you've installed all library specified in fb_nextgen_mmm_v19.exec.R first

Initial setting is running 1000 random search trails with geometric adstockinng. After installing all libraries, if you select all and run in fb_nextgen_mmm_v19.exec.R, the script should run and produce one plot

Script execution details please see comments in scripts

## Join the FB NextGen MMM community ##

###### FB Contact ######

gufeng@fb.com, Gufeng Zhou, Marketing Science Partner
leonelsentana@fb.com, Leonel Sentana, Marketing Science Partner
aprada@fb.com, Antonio Prada, Marketing Science Partner
igorskokan@fb.com, Igor Skokan, Marketing Science Partner
kylescotshank@fb.com, Kyle Scot Shank, Marketing Science Partner 

See the [CONTRIBUTING](CONTRIBUTING.md) file for how to help out.

## License
FB NextGen MMM R script is MIT licensed, as found in the LICENSE file.

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Robyn is a Marketing Mix Modeling (MMM) code. It can be used to build end-to-end time series regression models and as an econometrics code library. Automated, built for very large data sets, and is suitable for digital and complex consumer behaviour

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